SOTAVerified

3D Human Pose Estimation

3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.

Papers

Showing 151175 of 665 papers

TitleStatusHype
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose EstimationCode1
Probabilistic Monocular 3D Human Pose Estimation with Normalizing FlowsCode1
Human Pose Regression with Residual Log-likelihood EstimationCode1
Conditional Directed Graph Convolution for 3D Human Pose EstimationCode1
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge SensorsCode1
Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and TrackingCode1
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose EstimationCode1
Body Meshes as PointsCode1
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion ReconstructionCode1
AGORA: Avatars in Geography Optimized for Regression AnalysisCode1
Estimating Egocentric 3D Human Pose in Global SpaceCode1
Lifting Monocular Events to 3D Human PosesCode1
PARE: Part Attention Regressor for 3D Human Body EstimationCode1
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded ScenesCode1
On Self-Contact and Human PoseCode1
Mesh GraphormerCode1
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted SensorsCode1
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopCode1
Bilevel Online Adaptation for Out-of-Domain Human Mesh ReconstructionCode1
Graph Stacked Hourglass Networks for 3D Human Pose EstimationCode1
Context Modeling in 3D Human Pose Estimation: A Unified PerspectiveCode1
Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose EstimationCode1
3D Human Pose Estimation with Spatial and Temporal TransformersCode1
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic TrackersCode1
Modulated Graph Convolutional Network for 3D Human Pose EstimationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157Unverified
2HMRMPJPE130Unverified
3BMPMPVPE119.3Unverified
4SPINMPVPE116.4Unverified
5Wenshuo et a;.MPVPE112.6Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5Unverified
7CHOMPMPVPE110.1Unverified
8PC-HMRMPVPE108.6Unverified
93DCrowdNetMPVPE108.5Unverified
10SMPLifyPA-MPJPE106.8Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7Unverified
2HMRMPJPE124.2Unverified
3Single-Shot Multi-PersonMPJPE122.2Unverified
4MehtaMPJPE117.6Unverified
5PONetMPJPE115Unverified
6Pose Consensus (monocular)MPJPE112.1Unverified
7GeoRep (fully-supervised)MPJPE110.8Unverified
8XFormer (HRNet)MPJPE109.8Unverified
9EpipolarPose (fully-supervised)MPJPE108.99Unverified
10SPINMPJPE105.2Unverified